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"Security vulnerabilities and risks in MCP Server execution methods" matching MCP servers:

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    Enables secure interaction between LLMs and MCP tools by applying zero-trust security controls, including sensitive data masking, file system protection, and policy enforcement.
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    Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.
    40
    1
    Apache 2.0
  • A
    license
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    quality
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    Enables bounded, deterministic triage verdicts for server health, fleet status, and timeline investigation through a simulated execution-boundary MCP server.
    3
    5
    MIT
  • A
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    quality
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    An MCP server for Security Onion Community Edition that provides 21 read and write tools for SOC operations, including event querying, alert management, detection tuning, PCAP retrieval, and agent enrollment, without requiring a Pro license.
    Apache 2.0
  • A
    license
    A
    quality
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    maintenance
    MCP-native agent evaluation and observability server. Log traces, evaluate output quality with 12 built-in rules (PII detection, prompt injection, cost thresholds), and track agent costs. Real-time dashboard, OTel-compatible spans. Self-hosted, MIT licensed.
    9
    346
    7
    MIT
  • F
    license
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    quality
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    maintenance
    MCP server for inspecting IBM Liberty/WebSphere application servers over SSH, enabling reading sanitized configs, performing health checks, and searching logs remotely.
    4
  • A
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    A production-ready TypeScript template for building MCP servers with dual transport support (stdio/HTTP), OAuth 2.1 foundations, SQLite caching, observability, and security features including PII sanitization and rate limiting.
    4
    16
  • A
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    quality
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    Enables AI assistants to query and analyze AI agent sessions from observability providers like Shepherd (AIOBS) and Langfuse, allowing users to debug agent runs, compare sessions, track performance, and analyze LLM usage patterns.
    18
    MIT
  • A
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    quality
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    maintenance
    An MCP server that exposes Nexthink Digital Employee Experience (DEX) telemetry and automation to LLM agents, enabling execution of saved NQL queries, bulk async data exports, remote actions, and workflow triggers against Nexthink Infinity via secure OAuth2/bearer/basic authentication.
    442
    MIT
  • A
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    quality
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    Enables AI assistants to manage, monitor, and optimize PostgreSQL databases with over 200 specialized tools for operations, security, performance tuning, and diagnostics.
    34
    7
    MIT
  • A
    license
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    quality
    D
    maintenance
    Enables natural language querying and analysis of OpenTelemetry traces, metrics, and logs stored in Elasticsearch/OpenSearch, allowing AI assistants to investigate performance issues, find root causes, and explore system behavior.
    10
    13
    MIT
  • A
    license
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    quality
    A
    maintenance
    Securely integrates Wazuh security data with LLMs (such as Claude Desktop) by retrieving alerts from Elasticsearch indices and transforming them into MCP-compliant format, enabling real-time security context in LLM applications.
    217
    MIT
  • A
    license
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    quality
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    maintenance
    Bridges AI assistants with Wazuh SIEM infrastructure, providing natural language access to security alerts, vulnerability analysis, CVE databases, and network documentation for security operations.
    MIT
  • F
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    quality
    C
    maintenance
    MCP server for IBM QRadar SIEM that consolidates 728 REST API endpoints into 4 intelligent tools, enabling natural language interaction for security tasks like managing offenses, assets, rules, and reference data.
  • F
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    quality
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    maintenance
    A Model Context Protocol server that provides comprehensive tools for monitoring and identifying performance bottlenecks in Logstash instances through an interactive web UI and JSON-RPC interface.
    1